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READ BOOK Python Deep Learning

READ BOOK Python Deep Learning




Python Deep Learning

by Gianmario Spacagna

rating: 5.0 (1 reviews)

>>>DOWNLOAD BOOK Python Deep Learning

>>>ONLINE BOOK Python Deep Learning


Key Features

  • Explore and create intelligent systems using cutting-edge deep learning techniques
  • Implement deep learning algorithms and work with revolutionary libraries in Python
  • Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and more

Book Description

With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.

The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.

Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.

Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you’ll find everything inside.

What you will learn

  • Get a practical deep dive into deep learning algorithms
  • Explore deep learning further with Theano, Caffe, Kera, and TensorFlow
  • Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines
  • Dive into Deep Belief Nets and Deep Neural Networks
  • Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
  • Get to know device strategies so you can use deep learning algorithms and libraries in the real world



rank: #83,044
price: $39.59
bound: 406 pages
publisher: Packt Publishing (April 28, 2017)
lang: English
asin: B071RCDRKD
filesize: 14449 KB


















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Book Description. Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Deep Learning for Computer Vision with Python will make you an expert in deep learning for computer vision and visual recognition tasks.Understand and build Deep Learning models for images, text, sound and more using Python and KerasAbstract. An introduction to the python deep learning library Keras, the philosophy behind Keras, building and training trivial as well as complex models such as GANs .Deep learning framework in Python. Package Index. Browse packages; Package submission; List trove classifiers; RSS (latest 40 updates) RSS (newest 40 packages) Terms .


Python can be slow. But we use deep learning libraries in python to do deep learning stuff i.e tensorflow. In this case, you can think of python as an interface which .Use Bonsai platform to build deep learning models.My Top 9 Favorite Python Deep Learning Libraries. Posted by Emmanuelle Rieuf on August 3, 2016 at 2:30pm; View Blog; This article was posted by .Search for Python Deep Learning .Deep Learning Tutorials Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to .Unsupervised Deep Learning in Python Autoencoders + Restricted Boltzmann Machines for Deep Neural Networks in Theano, + t-SNE and PCADeep learning is the new big trend in Machine Learning. It is about artificial neural networks (ANN for short) that consists of many layers. While artificial neural .The NOOK Book (eBook) of the Deep Learning Fundamentals in Python by Lazy Programmer Lazy Programmer at Barnes & Noble.More from my site.Do you want to explore the various arenas of machine learning and deep learning by creating insightful and interesting projects? If yes, then this Learning Path is . 171bf2437f


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